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<div class="title">Tensor.h</div>  </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">// This file is part of Eigen, a lightweight C++ template library</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// for linear algebra.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">// Copyright (C) 2014 Benoit Steiner &lt;benoit.steiner.goog@gmail.com&gt;</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment">// Copyright (C) 2013 Christian Seiler &lt;christian@iwakd.de&gt;</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160; </div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#ifndef EIGEN_CXX11_TENSOR_TENSOR_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#define EIGEN_CXX11_TENSOR_TENSOR_H</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160; </div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &quot;./InternalHeaderCheck.h&quot;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160; </div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespaceEigen.html">Eigen</a> {</div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160; </div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> Scalar_, <span class="keywordtype">int</span> NumIndices_, <span class="keywordtype">int</span> Options_, <span class="keyword">typename</span> IndexType_&gt;</div>
<div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classEigen_1_1Tensor.html">   66</a></span>&#160;<span class="keyword">class </span><a class="code" href="classEigen_1_1Tensor.html">Tensor</a> : <span class="keyword">public</span> <a class="code" href="classEigen_1_1TensorBase.html">TensorBase</a>&lt;Tensor&lt;Scalar_, NumIndices_, Options_, IndexType_&gt; &gt;</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;{</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    <span class="keyword">typedef</span> <a class="code" href="classEigen_1_1Tensor.html">Tensor&lt;Scalar_, NumIndices_, Options_, IndexType_&gt;</a> <a class="code" href="classEigen_1_1Tensor.html">Self</a>;</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="keyword">typedef</span> <a class="code" href="classEigen_1_1TensorBase.html">TensorBase&lt;Tensor&lt;Scalar_, NumIndices_, Options_, IndexType_&gt;</a> &gt; <a class="code" href="classEigen_1_1TensorBase.html">Base</a>;</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> Eigen::internal::nested&lt;Self&gt;::type Nested;</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::traits&lt;Self&gt;::StorageKind StorageKind;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> internal::traits&lt;Self&gt;::Index Index;</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    <span class="keyword">typedef</span> Scalar_ Scalar;</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="codeRef" href="../structEigen_1_1NumTraits.html">NumTraits&lt;Scalar&gt;::Real</a> RealScalar;</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> Base::CoeffReturnType CoeffReturnType;</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160; </div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;      IsAligned = (EIGEN_MAX_ALIGN_BYTES&gt;0) &amp;&amp; !(Options_&amp;<a class="codeRef" href="../group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a56908522e51443a0aa0567f879c2e78a">DontAlign</a>),</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;      CoordAccess = <span class="keyword">true</span>,</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;      RawAccess = <span class="keyword">true</span></div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    };</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160; </div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> Layout = Options_ &amp; <a class="codeRef" href="../group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a> ? <a class="codeRef" href="../group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a> : <a class="codeRef" href="../group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">ColMajor</a>;</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> Options = Options_;</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> NumIndices = NumIndices_;</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    <span class="keyword">typedef</span> DSizes&lt;Index, NumIndices_&gt; Dimensions;</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160; </div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    TensorStorage&lt;Scalar, Dimensions, Options&gt; m_storage;</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160; </div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> CustomIndices&gt;</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    <span class="keyword">struct </span>isOfNormalIndex{</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;      <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> is_array = internal::is_base_of&lt;array&lt;Index, NumIndices&gt;, CustomIndices&gt;::value;</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;      <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> is_int = <a class="codeRef" href="../structEigen_1_1NumTraits.html">NumTraits&lt;CustomIndices&gt;::IsInteger</a>;</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;      <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> value = is_array | is_int;</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    };</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160; </div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    <span class="comment">// Metadata</span></div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index                         rank()<span class="keyword">                   const </span>{ <span class="keywordflow">return</span> NumIndices; }</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index                         dimension(std::size_t n)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_storage.dimensions()[n]; }</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Dimensions&amp;             dimensions()<span class="keyword">             const </span>{ <span class="keywordflow">return</span> m_storage.dimensions(); }</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index                         size()<span class="keyword">                   const </span>{ <span class="keywordflow">return</span> m_storage.size(); }</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar                        *data()                        { <span class="keywordflow">return</span> m_storage.data(); }</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar                  *data()<span class="keyword">                  const </span>{ <span class="keywordflow">return</span> m_storage.data(); }</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160; </div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    <span class="comment">// This makes EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED</span></div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    <span class="comment">// work, because that uses base().coeffRef() - and we don&#39;t yet</span></div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    <span class="comment">// implement a similar class hierarchy</span></div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    <span class="keyword">inline</span> <a class="code" href="classEigen_1_1Tensor.html">Self</a>&amp; base()             { <span class="keywordflow">return</span> *<span class="keyword">this</span>; }</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    <span class="keyword">inline</span> <span class="keyword">const</span> <a class="code" href="classEigen_1_1Tensor.html">Self</a>&amp; base()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> *<span class="keyword">this</span>; }</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160; </div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span>... IndexTypes&gt;</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar&amp; coeff(Index firstIndex, Index secondIndex, IndexTypes... otherIndices)<span class="keyword"> const</span></div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;      <span class="comment">// The number of indices used to access a tensor coefficient must be equal to the rank of the tensor.</span></div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;      EIGEN_STATIC_ASSERT(<span class="keyword">sizeof</span>...(otherIndices) + 2 == NumIndices, YOU_MADE_A_PROGRAMMING_MISTAKE)</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;      <span class="keywordflow">return</span> coeff(array&lt;Index, NumIndices&gt;{{firstIndex, secondIndex, otherIndices...}});</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    }</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160; </div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    <span class="comment">// normal indices</span></div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar&amp; coeff(<span class="keyword">const</span> array&lt;Index, NumIndices&gt;&amp; indices)<span class="keyword"> const</span></div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;      eigen_internal_assert(checkIndexRange(indices));</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;      <span class="keywordflow">return</span> m_storage.data()[linearizedIndex(indices)];</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    }</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160; </div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    <span class="comment">// custom indices</span></div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> CustomIndices,</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;             EIGEN_SFINAE_ENABLE_IF( !(isOfNormalIndex&lt;CustomIndices&gt;::value) )</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    &gt;</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar&amp; coeff(CustomIndices&amp; indices)<span class="keyword"> const</span></div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;        <span class="keywordflow">return</span> coeff(internal::customIndices2Array&lt;Index,NumIndices&gt;(indices));</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    }</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160; </div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar&amp; coeff()<span class="keyword"> const</span></div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;      EIGEN_STATIC_ASSERT(NumIndices == 0, YOU_MADE_A_PROGRAMMING_MISTAKE);</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;      <span class="keywordflow">return</span> m_storage.data()[0];</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    }</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160; </div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar&amp; coeff(Index index)<span class="keyword"> const</span></div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;      eigen_internal_assert(index &gt;= 0 &amp;&amp; index &lt; size());</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;      <span class="keywordflow">return</span> m_storage.data()[index];</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    }</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160; </div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span>... IndexTypes&gt;</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    <span class="keyword">inline</span> Scalar&amp; coeffRef(Index firstIndex, Index secondIndex, IndexTypes... otherIndices)</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    {</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;      <span class="comment">// The number of indices used to access a tensor coefficient must be equal to the rank of the tensor.</span></div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;      EIGEN_STATIC_ASSERT(<span class="keyword">sizeof</span>...(otherIndices) + 2 == NumIndices, YOU_MADE_A_PROGRAMMING_MISTAKE)</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;      <span class="keywordflow">return</span> coeffRef(array&lt;Index, NumIndices&gt;{{firstIndex, secondIndex, otherIndices...}});</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    }</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160; </div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    <span class="comment">// normal indices</span></div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar&amp; coeffRef(<span class="keyword">const</span> array&lt;Index, NumIndices&gt;&amp; indices)</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    {</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;      eigen_internal_assert(checkIndexRange(indices));</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;      <span class="keywordflow">return</span> m_storage.data()[linearizedIndex(indices)];</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    }</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160; </div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    <span class="comment">// custom indices</span></div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> CustomIndices,</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;             EIGEN_SFINAE_ENABLE_IF( !(isOfNormalIndex&lt;CustomIndices&gt;::value) )</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;             &gt;</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar&amp; coeffRef(CustomIndices&amp; indices)</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    {</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;        <span class="keywordflow">return</span> coeffRef(internal::customIndices2Array&lt;Index,NumIndices&gt;(indices));</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    }</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160; </div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar&amp; coeffRef()</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    {</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;      EIGEN_STATIC_ASSERT(NumIndices == 0, YOU_MADE_A_PROGRAMMING_MISTAKE);</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;      <span class="keywordflow">return</span> m_storage.data()[0];</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    }</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160; </div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar&amp; coeffRef(Index index)</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    {</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;      eigen_internal_assert(index &gt;= 0 &amp;&amp; index &lt; size());</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;      <span class="keywordflow">return</span> m_storage.data()[index];</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    }</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160; </div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span>... IndexTypes&gt;</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    <span class="keyword">inline</span> <span class="keyword">const</span> Scalar&amp; operator()(Index firstIndex, Index secondIndex, IndexTypes... otherIndices)<span class="keyword"> const</span></div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;      <span class="comment">// The number of indices used to access a tensor coefficient must be equal to the rank of the tensor.</span></div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;      EIGEN_STATIC_ASSERT(<span class="keyword">sizeof</span>...(otherIndices) + 2 == NumIndices, YOU_MADE_A_PROGRAMMING_MISTAKE)</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;      <span class="keywordflow">return</span> this-&gt;operator()(array&lt;Index, NumIndices&gt;{{firstIndex, secondIndex, otherIndices...}});</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    }</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160; </div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    <span class="comment">// custom indices</span></div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> CustomIndices,</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;             EIGEN_SFINAE_ENABLE_IF( !(isOfNormalIndex&lt;CustomIndices&gt;::value) )</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    &gt;</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar&amp; operator()(CustomIndices&amp; indices)<span class="keyword"> const</span></div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;        <span class="keywordflow">return</span> coeff(internal::customIndices2Array&lt;Index,NumIndices&gt;(indices));</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    }</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160; </div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;    <span class="comment">// normal indices</span></div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar&amp; operator()(<span class="keyword">const</span> array&lt;Index, NumIndices&gt;&amp; indices)<span class="keyword"> const</span></div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;      <span class="keywordflow">return</span> coeff(indices);</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    }</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160; </div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar&amp; operator()(Index index)<span class="keyword"> const</span></div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;      eigen_internal_assert(index &gt;= 0 &amp;&amp; index &lt; size());</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;      <span class="keywordflow">return</span> coeff(index);</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    }</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160; </div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar&amp; operator()()<span class="keyword"> const</span></div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;      EIGEN_STATIC_ASSERT(NumIndices == 0, YOU_MADE_A_PROGRAMMING_MISTAKE);</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;      <span class="keywordflow">return</span> coeff();</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;    }</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160; </div>
<div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar&amp; operator[](Index index)<span class="keyword"> const</span></div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;      <span class="comment">// The bracket operator is only for vectors, use the parenthesis operator instead.</span></div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;      EIGEN_STATIC_ASSERT(NumIndices == 1, YOU_MADE_A_PROGRAMMING_MISTAKE);</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;      <span class="keywordflow">return</span> coeff(index);</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    }</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160; </div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span>... IndexTypes&gt;</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;    <span class="keyword">inline</span> Scalar&amp; operator()(Index firstIndex, Index secondIndex, IndexTypes... otherIndices)</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;    {</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;      <span class="comment">// The number of indices used to access a tensor coefficient must be equal to the rank of the tensor.</span></div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;      EIGEN_STATIC_ASSERT(<span class="keyword">sizeof</span>...(otherIndices) + 2 == NumIndices, YOU_MADE_A_PROGRAMMING_MISTAKE)</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;      <span class="keywordflow">return</span> operator()(array&lt;Index, NumIndices&gt;{{firstIndex, secondIndex, otherIndices...}});</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    }</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160; </div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    <span class="comment">// normal indices</span></div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar&amp; operator()(<span class="keyword">const</span> array&lt;Index, NumIndices&gt;&amp; indices)</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    {</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;      <span class="keywordflow">return</span> coeffRef(indices);</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    }</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160; </div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;    <span class="comment">// custom indices</span></div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> CustomIndices,</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;             EIGEN_SFINAE_ENABLE_IF( !(isOfNormalIndex&lt;CustomIndices&gt;::value) )</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;    &gt;</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar&amp; operator()(CustomIndices&amp; indices)</div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;    {</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;      <span class="keywordflow">return</span> coeffRef(internal::customIndices2Array&lt;Index,NumIndices&gt;(indices));</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;    }</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160; </div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar&amp; operator()(Index index)</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;    {</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;      eigen_assert(index &gt;= 0 &amp;&amp; index &lt; size());</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;      <span class="keywordflow">return</span> coeffRef(index);</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;    }</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160; </div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar&amp; operator()()</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;    {</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;      EIGEN_STATIC_ASSERT(NumIndices == 0, YOU_MADE_A_PROGRAMMING_MISTAKE);</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;      <span class="keywordflow">return</span> coeffRef();</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    }</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160; </div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar&amp; operator[](Index index)</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    {</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;      <span class="comment">// The bracket operator is only for vectors, use the parenthesis operator instead</span></div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;      EIGEN_STATIC_ASSERT(NumIndices == 1, YOU_MADE_A_PROGRAMMING_MISTAKE)</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;      <span class="keywordflow">return</span> coeffRef(index);</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;    }</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160; </div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;    EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;    EIGEN_STRONG_INLINE <a class="code" href="classEigen_1_1Tensor.html">Tensor</a>()</div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;      : m_storage()</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;    {</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;    }</div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160; </div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;    EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;    EIGEN_STRONG_INLINE <a class="code" href="classEigen_1_1Tensor.html">Tensor</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1Tensor.html">Self</a>&amp; other)</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;      : <a class="code" href="classEigen_1_1TensorBase.html">Base</a>(other), m_storage(other.m_storage)</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;    {</div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;    }</div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160; </div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span>... IndexTypes&gt;</div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <a class="code" href="classEigen_1_1Tensor.html">Tensor</a>(Index firstDimension, IndexTypes... otherDimensions)</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;        : m_storage(firstDimension, otherDimensions...)</div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;    {</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;      <span class="comment">// The number of dimensions used to construct a tensor must be equal to the rank of the tensor.</span></div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;      EIGEN_STATIC_ASSERT(<span class="keyword">sizeof</span>...(otherDimensions) + 1 == NumIndices, YOU_MADE_A_PROGRAMMING_MISTAKE)</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;    }</div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160; </div>
<div class="line"><a name="l00291"></a><span class="lineno"><a class="line" href="classEigen_1_1Tensor.html#a9d0f7b1474af9b4e76cb4e544c2bb03c">  291</a></span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keyword">explicit</span> <a class="code" href="classEigen_1_1Tensor.html#a9d0f7b1474af9b4e76cb4e544c2bb03c">Tensor</a>(<span class="keyword">const</span> array&lt;Index, NumIndices&gt;&amp; dimensions)</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;        : m_storage(internal::array_prod(dimensions), dimensions)</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;    {</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;      EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;    }</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160; </div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> OtherDerived&gt;</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;    EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;    EIGEN_STRONG_INLINE <a class="code" href="classEigen_1_1Tensor.html">Tensor</a>(<span class="keyword">const</span> <a class="code" href="classEigen_1_1TensorBase.html">TensorBase&lt;OtherDerived, ReadOnlyAccessors&gt;</a>&amp; other)</div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;    {</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;      <span class="keyword">typedef</span> TensorAssignOp&lt;Tensor, const OtherDerived&gt; Assign;</div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;      Assign assign(*<span class="keyword">this</span>, other.derived());</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;      resize(<a class="code" href="structEigen_1_1TensorEvaluator.html">TensorEvaluator&lt;const Assign, DefaultDevice&gt;</a>(assign, DefaultDevice()).dimensions());</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;      internal::TensorExecutor&lt;const Assign, DefaultDevice&gt;::run(assign, DefaultDevice());</div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;    }</div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160; </div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> OtherDerived&gt;</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;    EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;    EIGEN_STRONG_INLINE Tensor(<span class="keyword">const</span> TensorBase&lt;OtherDerived, WriteAccessors&gt;&amp; other)</div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;    {</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;      <span class="keyword">typedef</span> TensorAssignOp&lt;Tensor, const OtherDerived&gt; Assign;</div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;      Assign assign(*<span class="keyword">this</span>, other.derived());</div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;      resize(TensorEvaluator&lt;const Assign, DefaultDevice&gt;(assign, DefaultDevice()).dimensions());</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;      internal::TensorExecutor&lt;const Assign, DefaultDevice&gt;::run(assign, DefaultDevice());</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;    }</div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160; </div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;    EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;    EIGEN_STRONG_INLINE Tensor(Self&amp;&amp; other)</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;      : m_storage(std::move(other.m_storage))</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;    {</div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;    }</div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;    EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;    EIGEN_STRONG_INLINE Tensor&amp; operator=(Self&amp;&amp; other)</div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;    {</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;      m_storage = std::move(other.m_storage);</div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;      <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;    }</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160; </div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;    EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;    EIGEN_STRONG_INLINE Tensor&amp; operator=(<span class="keyword">const</span> Tensor&amp; other)</div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;    {</div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;      <span class="keyword">typedef</span> TensorAssignOp&lt;Tensor, const Tensor&gt; Assign;</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;      Assign assign(*<span class="keyword">this</span>, other);</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;      resize(TensorEvaluator&lt;const Assign, DefaultDevice&gt;(assign, DefaultDevice()).dimensions());</div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;      internal::TensorExecutor&lt;const Assign, DefaultDevice&gt;::run(assign, DefaultDevice());</div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;      <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;    }</div>
<div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> OtherDerived&gt;</div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;    EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;    EIGEN_STRONG_INLINE Tensor&amp; operator=(<span class="keyword">const</span> OtherDerived&amp; other)</div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;    {</div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;      <span class="keyword">typedef</span> TensorAssignOp&lt;Tensor, const OtherDerived&gt; Assign;</div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;      Assign assign(*<span class="keyword">this</span>, other);</div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;      resize(TensorEvaluator&lt;const Assign, DefaultDevice&gt;(assign, DefaultDevice()).dimensions());</div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;      internal::TensorExecutor&lt;const Assign, DefaultDevice&gt;::run(assign, DefaultDevice());</div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;      <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;    }</div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160; </div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span>... IndexTypes&gt; EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;    <span class="keywordtype">void</span> resize(Index firstDimension, IndexTypes... otherDimensions)</div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;    {</div>
<div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;      <span class="comment">// The number of dimensions used to resize a tensor must be equal to the rank of the tensor.</span></div>
<div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;      EIGEN_STATIC_ASSERT(<span class="keyword">sizeof</span>...(otherDimensions) + 1 == NumIndices, YOU_MADE_A_PROGRAMMING_MISTAKE)</div>
<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;      resize(array&lt;Index, NumIndices&gt;{{firstDimension, otherDimensions...}});</div>
<div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;    }</div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160; </div>
<div class="line"><a name="l00358"></a><span class="lineno"><a class="line" href="classEigen_1_1Tensor.html#ade5949755478e59ad152dd952d6a8636">  358</a></span>&#160;    EIGEN_DEVICE_FUNC <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1Tensor.html#ade5949755478e59ad152dd952d6a8636">resize</a>(<span class="keyword">const</span> array&lt;Index, NumIndices&gt;&amp; dimensions)</div>
<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;    {</div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;      <span class="keywordtype">int</span> i;</div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;      Index size = Index(1);</div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;      <span class="keywordflow">for</span> (i = 0; i &lt; NumIndices; i++) {</div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;        internal::check_rows_cols_for_overflow&lt;Dynamic&gt;::run(size, dimensions[i]);</div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;        size *= dimensions[i];</div>
<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;      }</div>
<div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;<span class="preprocessor">      #ifdef EIGEN_INITIALIZE_COEFFS</span></div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;        <span class="keywordtype">bool</span> size_changed = size != this-&gt;size();</div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;        m_storage.resize(size, dimensions);</div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;        <span class="keywordflow">if</span>(size_changed) EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED</div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;<span class="preprocessor">      #else</span></div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;        m_storage.resize(size, dimensions);</div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;<span class="preprocessor">      #endif</span></div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;    }</div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160; </div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;    <span class="comment">// Why this overload, DSizes is derived from array ??? //</span></div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;    EIGEN_DEVICE_FUNC <span class="keywordtype">void</span> resize(<span class="keyword">const</span> DSizes&lt;Index, NumIndices&gt;&amp; dimensions) {</div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;      array&lt;Index, NumIndices&gt; dims;</div>
<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; NumIndices; ++i) {</div>
<div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;        dims[i] = dimensions[i];</div>
<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;      }</div>
<div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;      resize(dims);</div>
<div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;    }</div>
<div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160; </div>
<div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;    EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;    <span class="keywordtype">void</span> resize()</div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;    {</div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;      EIGEN_STATIC_ASSERT(NumIndices == 0, YOU_MADE_A_PROGRAMMING_MISTAKE);</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;      <span class="comment">// Nothing to do: rank 0 tensors have fixed size</span></div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;    }</div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160; </div>
<div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> FirstType, <span class="keyword">typename</span>... OtherTypes&gt;</div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;    EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;    <span class="keywordtype">void</span> resize(<span class="keyword">const</span> Eigen::IndexList&lt;FirstType, OtherTypes...&gt;&amp; dimensions) {</div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;      array&lt;Index, NumIndices&gt; dims;</div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; NumIndices; ++i) {</div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;        dims[i] = <span class="keyword">static_cast&lt;</span><a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a><span class="keyword">&gt;</span>(dimensions[i]);</div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;      }</div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;      resize(dims);</div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;    }</div>
<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160; </div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;    <span class="keyword">template</span>&lt;<span class="keyword">typename</span> CustomDimension,</div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;             EIGEN_SFINAE_ENABLE_IF( !(isOfNormalIndex&lt;CustomDimension&gt;::value) )</div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;    &gt;</div>
<div class="line"><a name="l00405"></a><span class="lineno"><a class="line" href="classEigen_1_1Tensor.html#aa587c5805fcce5d35bb29e56a96bd02e">  405</a></span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <span class="keywordtype">void</span> <a class="code" href="classEigen_1_1Tensor.html#aa587c5805fcce5d35bb29e56a96bd02e">resize</a>(CustomDimension&amp; dimensions)</div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;    {</div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;      resize(internal::customIndices2Array&lt;Index,NumIndices&gt;(dimensions));</div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;    }</div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160; </div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;<span class="preprocessor">#ifndef EIGEN_EMULATE_CXX11_META_H</span></div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> std::ptrdiff_t... Indices&gt;</div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;    EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;    <span class="keywordtype">void</span> resize(<span class="keyword">const</span> Sizes&lt;Indices...&gt;&amp; dimensions) {</div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;      array&lt;Index, NumIndices&gt; dims;</div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; NumIndices; ++i) {</div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;        dims[i] = <span class="keyword">static_cast&lt;</span><a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a><span class="keyword">&gt;</span>(dimensions[i]);</div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;      }</div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;      resize(dims);</div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;    }</div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;    <span class="keyword">template</span> &lt;std::<span class="keywordtype">size_t</span> V1, std::<span class="keywordtype">size_t</span> V2, std::<span class="keywordtype">size_t</span> V3, std::<span class="keywordtype">size_t</span> V4, std::<span class="keywordtype">size_t</span> V5&gt;</div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;    EIGEN_DEVICE_FUNC</div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;    <span class="keywordtype">void</span> resize(<span class="keyword">const</span> Sizes&lt;V1, V2, V3, V4, V5&gt;&amp; dimensions) {</div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;      array&lt;Index, NumIndices&gt; dims;</div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; NumIndices; ++i) {</div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;        dims[i] = <span class="keyword">static_cast&lt;</span><a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a><span class="keyword">&gt;</span>(dimensions[i]);</div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;      }</div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;      resize(dims);</div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;    }</div>
<div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160; </div>
<div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;<span class="preprocessor">    #ifdef EIGEN_TENSOR_PLUGIN</span></div>
<div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;<span class="preprocessor">    #include EIGEN_TENSOR_PLUGIN</span></div>
<div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;<span class="preprocessor">    #endif</span></div>
<div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160; </div>
<div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;  <span class="keyword">protected</span>:</div>
<div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160; </div>
<div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;    <span class="keywordtype">bool</span> checkIndexRange(<span class="keyword">const</span> array&lt;Index, NumIndices&gt;&amp; indices)<span class="keyword"> const</span></div>
<div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;      <span class="keyword">using</span> internal::array_apply_and_reduce;</div>
<div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;      <span class="keyword">using</span> internal::array_zip_and_reduce;</div>
<div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;      <span class="keyword">using</span> internal::greater_equal_zero_op;</div>
<div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;      <span class="keyword">using</span> internal::logical_and_op;</div>
<div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;      <span class="keyword">using</span> internal::lesser_op;</div>
<div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160; </div>
<div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;      <span class="keywordflow">return</span></div>
<div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;        <span class="comment">// check whether the indices are all &gt;= 0</span></div>
<div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;        array_apply_and_reduce&lt;logical_and_op, greater_equal_zero_op&gt;(indices) &amp;&amp;</div>
<div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;        <span class="comment">// check whether the indices fit in the dimensions</span></div>
<div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;        array_zip_and_reduce&lt;logical_and_op, lesser_op&gt;(indices, m_storage.dimensions());</div>
<div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;    }</div>
<div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160; </div>
<div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE <a class="codeRef" href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Index</a> linearizedIndex(<span class="keyword">const</span> array&lt;Index, NumIndices&gt;&amp; indices)<span class="keyword"> const</span></div>
<div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;<span class="keyword">    </span>{</div>
<div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;      <span class="keywordflow">if</span> (Options&amp;<a class="codeRef" href="../group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">RowMajor</a>) {</div>
<div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;        <span class="keywordflow">return</span> m_storage.dimensions().IndexOfRowMajor(indices);</div>
<div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;      } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;        <span class="keywordflow">return</span> m_storage.dimensions().IndexOfColMajor(indices);</div>
<div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;      }</div>
<div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;    }</div>
<div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;};</div>
<div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160; </div>
<div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;} <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160; </div>
<div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;<span class="preprocessor">#endif </span><span class="comment">// EIGEN_CXX11_TENSOR_TENSOR_H</span></div>
<div class="ttc" id="aclassEigen_1_1TensorBase_html"><div class="ttname"><a href="classEigen_1_1TensorBase.html">Eigen::TensorBase</a></div><div class="ttdoc">The tensor base class.</div><div class="ttdef"><b>Definition:</b> TensorForwardDeclarations.h:58</div></div>
<div class="ttc" id="aclassEigen_1_1Tensor_html"><div class="ttname"><a href="classEigen_1_1Tensor.html">Eigen::Tensor</a></div><div class="ttdoc">The tensor class.</div><div class="ttdef"><b>Definition:</b> Tensor.h:67</div></div>
<div class="ttc" id="aclassEigen_1_1Tensor_html_a9d0f7b1474af9b4e76cb4e544c2bb03c"><div class="ttname"><a href="classEigen_1_1Tensor.html#a9d0f7b1474af9b4e76cb4e544c2bb03c">Eigen::Tensor::Tensor</a></div><div class="ttdeci">Tensor(const array&lt; Index, NumIndices &gt; &amp;dimensions)</div><div class="ttdef"><b>Definition:</b> Tensor.h:291</div></div>
<div class="ttc" id="aclassEigen_1_1Tensor_html_aa587c5805fcce5d35bb29e56a96bd02e"><div class="ttname"><a href="classEigen_1_1Tensor.html#aa587c5805fcce5d35bb29e56a96bd02e">Eigen::Tensor::resize</a></div><div class="ttdeci">void resize(CustomDimension &amp;dimensions)</div><div class="ttdef"><b>Definition:</b> Tensor.h:405</div></div>
<div class="ttc" id="aclassEigen_1_1Tensor_html_ade5949755478e59ad152dd952d6a8636"><div class="ttname"><a href="classEigen_1_1Tensor.html#ade5949755478e59ad152dd952d6a8636">Eigen::Tensor::resize</a></div><div class="ttdeci">void resize(const array&lt; Index, NumIndices &gt; &amp;dimensions)</div><div class="ttdef"><b>Definition:</b> Tensor.h:358</div></div>
<div class="ttc" id="agroup__enums_html_ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62"><div class="ttname"><a href="../group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a0103672ae41005ab03b4176c765afd62">Eigen::ColMajor</a></div><div class="ttdeci">ColMajor</div></div>
<div class="ttc" id="agroup__enums_html_ggaacded1a18ae58b0f554751f6cdf9eb13a56908522e51443a0aa0567f879c2e78a"><div class="ttname"><a href="../group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a56908522e51443a0aa0567f879c2e78a">Eigen::DontAlign</a></div><div class="ttdeci">DontAlign</div></div>
<div class="ttc" id="agroup__enums_html_ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f"><div class="ttname"><a href="../group__enums.html#ggaacded1a18ae58b0f554751f6cdf9eb13a77c993a8d9f6efe5c1159fb2ab07dd4f">Eigen::RowMajor</a></div><div class="ttdeci">RowMajor</div></div>
<div class="ttc" id="anamespaceEigen_html"><div class="ttname"><a href="namespaceEigen.html">Eigen</a></div><div class="ttdoc">Namespace containing all symbols from the Eigen library.</div></div>
<div class="ttc" id="anamespaceEigen_html_a62e77e0933482dafde8fe197d9a2cfde"><div class="ttname"><a href="../namespaceEigen.html#a62e77e0933482dafde8fe197d9a2cfde">Eigen::Index</a></div><div class="ttdeci">EIGEN_DEFAULT_DENSE_INDEX_TYPE Index</div></div>
<div class="ttc" id="astructEigen_1_1NumTraits_html"><div class="ttname"><a href="../structEigen_1_1NumTraits.html">Eigen::NumTraits</a></div></div>
<div class="ttc" id="astructEigen_1_1TensorEvaluator_html"><div class="ttname"><a href="structEigen_1_1TensorEvaluator.html">Eigen::TensorEvaluator</a></div><div class="ttdoc">A cost model used to limit the number of threads used for evaluating tensor expression.</div><div class="ttdef"><b>Definition:</b> TensorEvaluator.h:31</div></div>
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